On conceptualisation and an overview of learning path recommender systems in e-learning
A. Fuster-L\'opez, J.M. Cruz, P. Guerrero-Garc\'ia, E.M.T. Hendrix, A., Ko\v{s}ir, I. Nowak, L. Oneto, S. Sirmakessis, M.F. Pacheco, F.P. Fernandes,, and A.I. Pereira

TL;DR
This paper reviews the concept of learning path recommender systems in e-learning, proposing a unified framework and embedding five different recommenders to enhance student learning and understanding.
Contribution
It introduces a common concept of learning paths and learning indicators, integrating five recommender approaches within this framework.
Findings
Unified concept of learning paths and indicators
Embedding of five different recommender systems
Facilitation of student learning and understanding
Abstract
The use of e-learning systems has a long tradition, where students can study online helped by a system. In this context, the use of recommender systems is relatively new. In our research project, we investigated various ways to create a recommender system. They all aim at facilitating the learning and understanding of a student. We present a common concept of the learning path and its learning indicators and embed 5 different recommenders in this context.
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Taxonomy
TopicsRecommender Systems and Techniques · Open Education and E-Learning · Intelligent Tutoring Systems and Adaptive Learning
